Antonio Quatraro
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 10%
- Molecular Biology
- Clinical Biochemistry top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Dario GiuglianoAntonio CerielloPierre J. LefèbvrePierre RussoG ConsoliRoberto TorellaF D'OnofrioEgidio Marchi
- Topics
- Diabetes Treatment and Management (13 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Blood properties and coagulation (10 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyBelgiumUnited States
In The Last Decade
Antonio Quatraro
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Endocrinology, Diabetes and Metabolism 723
- Physiology 317
- Molecular Biology 283
- Clinical Biochemistry 231
- Cardiology and Cardiovascular Medicine 230
Countries citing papers authored by Antonio Quatraro
This map shows the geographic impact of Antonio Quatraro's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Quatraro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Quatraro more than expected).
Fields of papers citing papers by Antonio Quatraro
This network shows the impact of papers produced by Antonio Quatraro. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Quatraro. The network helps show where Antonio Quatraro may publish in the future.
Co-authorship network of co-authors of Antonio Quatraro
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Quatraro. A scholar is included among the top collaborators of Antonio Quatraro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonio Quatraro. Antonio Quatraro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Glucosaminoglycans administration decreases high fibrinogen plasma levels in diabetic patients | 9 |
| 5 | 61 | |
| 6 | 12 | |
| 7 | 137 | |
| 8 | Is a family history of diabetes associated with an increased level of cardiovascular risk factors? Studies in healthy people and in subjects with different degree of glucose intolerance. | 5 |
| 9 | 109 | |
| 10 | 3 | |
| 11 | 98 | |
| 12 | 4 | |
| 13 | 33 | |
| 14 | 21 | |
| 15 | 14 | |
| 16 | 33 | |
| 17 | 80 | |
| 18 | 48 | |
| 19 | 15 | |
| 20 | 25 |
About Antonio Quatraro
Antonio Quatraro is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Hematology, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Blood properties and coagulation (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (723 citations), Clinical Biochemistry (231 citations) and Biochemistry (161 citations). Antonio Quatraro has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Dario Giugliano, Antonio Ceriello, Pierre J. Lefèbvre, Pierre Russo, G Consoli, Roberto Torella, F D'Onofrio, Egidio Marchi, Felice D’Onofrio and Nicola Rosa. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Blood.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.